Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/dithiothreitol/jdg-ksiegowynpx agentmods add skills/dithiothreitol/jdg-ksiegowy/jpk-korektaWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/dithiothreitol/jdg-ksiegowy/jpk-korekta)<a href="https://agentmods.dev/skills/dithiothreitol/jdg-ksiegowy/jpk-korekta"><img src="https://agentmods.dev/badge/skills/dithiothreitol/jdg-ksiegowy/jpk-korekta/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/dithiothreitol/jdg-ksiegowy/jpk-korekta"><img src="https://agentmods.dev/badge/skills/dithiothreitol/jdg-ksiegowy/jpk-korekta.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00160 | $0.01163 |
| Opus 5.5 | $0.00064 | $0.00465 |
| Sonnet 5.5 | $0.00032 | $0.00233 |
| Haiku 4.5 | $0.00016 | $0.00116 |
Grade A, and why
jpk-korekta scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Korekta JPK_V7M
Od 10.2020 deklaracja VAT-7 nie istnieje osobno — jest częścią JPK_V7M. Korekta to pełny plik
JPK_V7M za ten sam okres z CelZlozenia = 2 (formularza ORD-ZU nie ma; uzasadnienie to opcjonalne
pole P_ORDZU). W urzędzie obowiązuje ostatni przyjęty plik (najnowsze UPO) — dlatego zerowa
deklaracja wysłana przez pełnomocnika po Twojej nadpisuje Twoje rozliczenie, a Twoja korekta
nadpisuje ją z powrotem.
Kiedy korekta, a kiedy nie
- Za okres istnieje jakikolwiek przyjęty plik (Twój albo pełnomocnika) → korekta (
--correction). - Za okres nikt nic nie złożył → zwykłe złożenie (
generate_jpk.pybez flagi); bramka może odrzucić korektę bez pierwotnego. - Nie wiesz, co jest w urzędzie → user sprawdza w e-Urzędzie Skarbowym (Dokumenty → JPK_VAT).
Nie zgaduj — brak UPO w
data/upo/nie znaczy, że za okres nic nie ma.
Przebieg (dla każdego okresu)
# 1. Korekta z uzasadnieniem — oryginał data/jpk/JPK_V7M_2026_03.xml zostaje, powstaje _K1.xml
python3 skills/jpk/scripts/generate_jpk.py --month 3 --year 2026 --correction \
--reason "Korekta przywraca prawidłowe rozliczenie za okres. Pełnomocnik (biuro rachunkowe) omyłkowo złożył za ten okres deklarację zerową."
# 2. Walidacja XSD (bramka MF nie jest walidowana lokalnie — błąd wyszedłby dopiero jako 4xx)
python3 skills/jpk/scripts/validate_jpk.py --xml-path data/jpk/JPK_V7M_2026_03_K1.xml
# 3. Wysyłka jak zwykłego JPK (skill jpk-submit) — najpierw --dry-run
python3 skills/jpk-submit/scripts/submit.py --xml-path data/jpk/JPK_V7M_2026_03_K1.xml --dry-run
python3 skills/jpk-submit/scripts/submit.py --xml-path data/jpk/JPK_V7M_2026_03_K1.xml
Kolejna korekta tego samego okresu → _K2.xml (numer nadawany automatycznie); w XML zawsze CelZlozenia=2.
Przed wysyłką pokaż userowi
Tabelę per okres: P_38 (należny), P_48 (naliczony), P_51 (do zapłaty) z korekty vs. z oryginalnie
złożonego pliku (data/jpk/JPK_V7M_YYYY_MM.xml). Różnica = rejestr zmienił się od złożenia (np.
dopisane koszty) — user musi świadomie zaakceptować, że korekta wysyła nowe kwoty. Pokaż też treść P_ORDZU.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago First seen · 56 lines · 160 tokens per session scan A eeb9bf573f8b
jpk-korekta is a skill published in the GitHub repository dithiothreitol/jdg-ksiegowy (9 stars, last pushed 5d ago), licensed MIT. It adds 160 tokens to every session and 1,163 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-21.
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